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- Tasks: Drive strategic insights and optimise data architecture for impactful decisions.
- Company: Leading digital healthcare company in the UK with a focus on innovation.
- Benefits: Competitive salary, extensive benefits, and opportunities for career growth.
- Why this job: Join a dynamic team and make a real difference in healthcare analytics.
- Qualifications: 5+ years of experience in data analytics, SQL, Python, and marketing analytics.
- Other info: Collaborative environment with a strong emphasis on professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital healthcare company in the United Kingdom is looking for an experienced Data Analyst to drive strategic insights, optimize data architecture, and enable data-driven decisions across multiple teams.
The ideal candidate will have over 5 years of experience, expertise in SQL and Python, and a strong background in marketing analytics.
This position offers a competitive salary and numerous benefits to support your career growth.
Senior Data Analytics Lead - Growth & Insights in London employer: black.ai
Contact Detail:
black.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Lead - Growth & Insights in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the digital healthcare space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those involving SQL and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analytics Lead - Growth & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your marketing analytics background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decisions and how you can contribute to our growth at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your impact. We love numbers, so if you’ve improved processes or driven insights that led to significant results, make sure to include those!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at black.ai
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or optimise data architecture. This will show that you not only have the technical skills but also know how to apply them in a real-world context.
✨Showcase Marketing Analytics Experience
Prepare examples of how you've used data analytics to influence marketing strategies. Think about campaigns you've worked on, the metrics you tracked, and the outcomes. This will demonstrate your ability to connect data insights with business growth, which is crucial for this role.
✨Understand the Company’s Goals
Research the company’s mission and recent initiatives in digital healthcare. Being able to articulate how your skills can help them achieve their goals will set you apart. Tailor your responses to align with their vision and show that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful ones that reflect your understanding of the role and the company. For example, ask about the current challenges they face in data analytics or how they envision the growth of their data team. This shows your enthusiasm and strategic thinking.
